edu.cmu.ml.rtw.pra.experiments

Outputter

class Outputter extends AnyRef

Handles outputting results and other information from running PRA to the file system.

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Instance Constructors

  1. new Outputter(params: JValue, praBase: String, methodName: String, fileUtil: FileUtil = new com.mattg.util.FileUtil())

Value Members

  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. val baseDir: String

  8. def begin(): Unit

  9. def clean(): Unit

  10. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

  11. def debug(message: String): Unit

  12. final def eq(arg0: AnyRef): Boolean

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  13. def equals(arg0: Any): Boolean

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  14. def error(message: String): Unit

  15. def fatal(message: String): Unit

  16. def finalize(): Unit

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  17. implicit val formats: DefaultFormats.type

  18. final def getClass(): Class[_]

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  19. def getNode(index: Int, graph: Graph): String

  20. def getPathType(pathType: PathType, graph: Graph): String

  21. def hashCode(): Int

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  22. def info(message: String): Unit

  23. final def isInstanceOf[T0]: Boolean

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  24. def logToFile(message: String): Unit

  25. final def ne(arg0: AnyRef): Boolean

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  26. lazy val nodeNames: Map[String, String]

  27. final def notify(): Unit

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  28. final def notifyAll(): Unit

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  29. def outputAtLevel(message: String, level: Int): Unit

  30. def outputDataset[T <: Instance](filename: String, data: Dataset[T]): Unit

  31. def outputFeatureMatrix(isTraining: Boolean, matrix: FeatureMatrix, featureNames: Seq[String]): Unit

  32. def outputNodePairScores(filename: String, scores: Seq[(NodePairInstance, Double)], trainingData: Dataset[NodePairInstance]): Unit

  33. def outputNodeScores(filename: String, scores: Seq[(NodeInstance, Double)], trainingData: Dataset[NodeInstance]): Unit

  34. def outputPathCountMap(pathCountMap: Map[NodePairInstance, Map[PathType, Int]], data: Dataset[NodePairInstance]): Unit

  35. def outputPathCounts(pathCounts: Map[PathType, Int]): Unit

  36. def outputPaths(pathTypes: Seq[PathType], graph: Graph): Unit

  37. def outputScores[T <: Instance](scores: Seq[(T, Double)], trainingData: Dataset[T]): Unit

  38. def outputWeights(weights: Seq[Double], featureNames: Seq[String]): Unit

  39. def setLogLevel(level: Int): Unit

  40. def setRelation(_relation: String): Unit

  41. val shouldOutputMatrices: Boolean

  42. val shouldOutputPathCountMap: Boolean

  43. val shouldOutputPathCounts: Boolean

  44. val shouldOutputPaths: Boolean

  45. final def synchronized[T0](arg0: ⇒ T0): T0

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  46. def toString(): String

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  47. final def wait(): Unit

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  48. final def wait(arg0: Long, arg1: Int): Unit

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  49. final def wait(arg0: Long): Unit

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  50. def warn(message: String): Unit

  51. def writeGlobalParams(_params: JValue): Unit

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